The course focuses on the design and analytical aspects of pharmacoepidemiologic studies. The course will introduce students to the field of pharmacoepidemiology and provide them with the biostatistics skills needed to perform statistical analysis of epidemiologic data, such as developing appropriate study designs, identifying key sources of data for epidemiologic purposes, learning different measurements of treatments and outcomes, identifying sources of bias and controlling confounders, as well as learning techniques to reduce bias and confounding. Furthermore, this course will cover the most commonly used statistical models used in public health risk-benefit analysis such as survival analysis and Cox regression, Poisson regression, generalized linear models, log-linear models, and mixed-effects models.